We conducted our experimental studies using the popular AMI [1]} meeting dataset considering different types of audio streams.
The proposed system shows highly competitive performance and overtakes recent approaches in speaker diarization.
To foster replicability, we made the code and the pre-trained models available in the SpeechBrain projecthttps://speechbrain.github.io/.
